Stock Market Forecasting Methods
Stock Market Forecasting Methods is a research topic within Management Science and Operations Research. Science Explorer counts 31k research works in it since 1953. 10.0% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on predicting stock market trends and movements using various techniques such as time series forecasting, neural networks, deep learning, support vector machines, sentiment analysis, and Twitter data. The research explores the application of these methods to financial time series data for stock market prediction.
- Stock Market Prediction
- Time Series Forecasting
- Neural Networks
- Financial Time Series
- Deep Learning
- Support Vector Machines
- LSTM Networks
- Forecasting Models
- Sentiment Analysis
- Twitter Data
- Research works
- 31k fractional, since 1953
- In the world top 10%
- 3.1k per year above
- Top-10% rate
- 10.0% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- +100% the tick is no change
- Largest producer
China
34% of the 10 largest, 2022-now
Which countries lead Stock Market Forecasting Methods research?
By volume, China and India publish the most (3.3k and 2.6k works in 2022-now).
By volume, 2022-now
- 1
China 3.3k works
- 2
India 2.6k works
- 3
United States 1.4k works
- 4
Indonesia 777 works
- 5
Türkiye 448 works
- 6
United Kingdom 437 works
- 7
Malaysia 213 works
- 8
South Korea 203 works
- 9
Iran 200 works
- 10
Canada 197 works
How concentrated that is
The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.
Shares of the rows listed above, not of the whole node.
Which institutions lead Stock Market Forecasting Methods research?
By volume in 2022-now, SRM Institute of Science and Technology publishes the most Stock Market Forecasting Methods research, followed by Saveetha University and Binus University.
By volume, 2022-now
- 1
SRM Institute of Science and Technology
India 83 works
- 2
Saveetha University
India 69 works
- 3
Binus University
Indonesia 67 works
- 4
Islamic Azad University, Tehran
Iran 60 works
- 5
Vellore Institute of Technology University
India 60 works
- 6
Chandigarh University
India 57 works
- 7
Southwestern University of Finance and Economics
China 54 works
- 8
Christ University
India 52 works
- 9
Xi’an Jiaotong-Liverpool University
China 50 works
- 10
Amrita Vishwa Vidyapeetham
India 50 works
Who are the leading researchers in Stock Market Forecasting Methods?
The most-cited researchers publishing on Stock Market Forecasting Methods include Yoshua Bengio, Eugene F. Fama and Andrei Shleifer.
- 1
Yoshua Bengio
Canada 476k citations
- 2
Eugene F. Fama
United States 262k citations
- 3
Andrei Shleifer
United States 234k citations
- 4
Harry Eugene Stanley
United States 198k citations
- 5
David F. Larcker
United States 197k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Stock Market Forecasting Methods research done?
The largest centres of Stock Market Forecasting Methods research in 2022-now are Beijing (China), Shanghai (China), Chennai (India) and Guangzhou (China). Among places with at least 20 works in it, it is an unusually large share of all research in Giresun and Greater Noida.
Largest cities, 2022-now
Where it is the local speciality
- GiresunTR · 20.4 works12×
- Greater NoidaIN · 66.4 works7.8×
Location quotient: how much more of its research is in Stock Market Forecasting Methods than the world average.
Where is the best place to study Stock Market Forecasting Methods?
Among universities, judged by research, North Carolina State University, Macau University of Science and Technology and Southwestern University of Finance and Economics score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.
One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.
Universities only. The score blends excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.
Every institution in Stock Market Forecasting Methods, country by countryIs Stock Market Forecasting Methods research growing?
Output in 2022-2025 was 100% higher than in 2018-2021, peaking in 2025. The fastest-growing topics are Stock Market Forecasting Methods.
The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.
Its share of all research
Growing output can still be a shrinking share: all of science grows. This is Stock Market Forecasting Methods as a percentage of every work published that year, 0.057% in 2024.
Fractional works of Stock Market Forecasting Methods over all fractional works that year. How the balance of science has shifted.
How much of it reaches the world top 10%
Year by year.
Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.
Which topics inside it are moving
Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.
Discussion
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